Case-based learning: Modern teaching tool meant for present curriculum: A behavioral analysis from faculties' perspective.

BACKGROUND: Case-based learning (CBL) is an established bidirectional active learning approach where students learn concepts by solving cases or problems under the guidance of a facilitator. In the present study, the awareness and acceptance level of faculties to implement this method of teaching were assessed by behavioral analysis. MATERIALS AND METHODS: This cross-sectional study was done through two workshops organized at NDRI Karnal on December 16 and 17, 2019, and BHU Varanasi on March 1, 2020. Fifty-four faculties from different applied sciences participated. The participants were given an insight into this teaching tool through didactic lecture and hands-on training session about implementation of this method. Pre and post- session responses were compared through a set of questionnaires and the behavioral change was analyzed by using SPSS version 22. P ≤ 0.05 was considered as statistically significant. RESULTS: Only 31.5% faculties were aware of the active learning methods though 83% agreed that active learning is better than conventional teaching. 96% agreed that CBL is a better way to develop concepts and nearly 81% agreed that more learning could be done with lesser efforts. The clinical decision-making improve significantly. Pre and post-session mean scores of effectiveness of CBL as a teaching tool were 2.44 ± 0.63 and 2.72 ± 0.53, respectively. CONCLUSION: CBL originally is a mode of imparting knowledge in a student-centric bimodal learning. Acceptance to the mode is increasing among faculties despite of many deterrents.

Burden of illness in the first 3 years of life in an Indian slum.

The morbidity and mortality in a cohort of 452 children followed up from birth up to 3 years of age, in an urban slum in India, is described. These children were recruited and followed from March 2002 to September 2006. A prospective morbidity survey was established. There were 1162 child-years of follow-up. The average morbidity rate was 11.26 episodes/child-year. Respiratory infections caused 58.3 and diarrheal disease 18.4% of the illnesses. Respiratory illnesses resulted in 48, 67.5 and 50 days of illnesses, and there were 3.6, 1.64 and 1.16 diarrheal episodes per child in the 3 years, respectively. There were five deaths in the cohort in the 3 years of follow-up. Of the 77 drop-outs 44 were contacted for mortality data. The morbidity in the area is high, comparable to other studies. The mortality is low, and is attributed to the facilitated access to care.

Pediatric COVID-19 and Pericarditis Presenting With Acute Pericardial Tamponade.

We describe a seven-year-old female with acute pericarditis presenting with pericardial tamponade, who screened positive for coronavirus disease 2019 (COVID-19 [SARS-CoV-2]) in the setting of cough, chest pain, and orthopnea. She required emergent pericardiocentesis. Due to continued chest pain and orthopnea, rising inflammatory markers, and worsening pericardial inflammation, she underwent surgical pericardial decortication and pericardiectomy. Her symptoms and pericardial effusion resolved, and she was discharged to home 3 days later on ibuprofen and colchicine with instruction to quarantine at home for 14 days from the date of her positive testing for COVID-19.

Costing of severe pneumonia in hospitalized infants and children aged 2-36 months, at a secondary and tertiary level hospital of a not-for-profit organization.

OBJECTIVES: To determine health care provider cost and household cost of the treatment of severe pneumonia in infants and young children admitted to secondary and tertiary level health care facilities. METHODS: The study was done in a private, not-for-profit medical college hospital, in Vellore, India, in mid-2008. Children aged 2-36 months admitted with severe pneumonia with no underlying chronic disease were included in the study. The relatives were interviewed daily on matters relating to patients' view point of the costs. These were direct medical costs, direct non-medical costs which comprised travel, accommodation and special food during the period of illness, and indirect costs of productivity loss for family members. Patient specific resource consumption and related charges were recorded from charts, nursing records, pharmacy lists and hospital bills, and the providers view point of the costs was estimated. Unit cost estimates for bed days, treatment and investigation inputs were calculated. RESULTS: Total cost to health care provider for one episode of hospitalized childhood pneumonia treated at secondary level was US$ 83.89 (INR 3524) and US$ 146.59 (INR 6158) at tertiary level. At both levels the greatest single cost was the hospital stay itself, comprising 74% and 56% of the total cost, respectively. Diagnostic investigations were a large expense and supportive treatment with nebulization and oxygen therapy added to the costs. Mean household expenditure on secondary level was US$ 41.35 (INR 1737) and at tertiary level was US$ 134.62 (INR 5655), the largest single expense being medicines in the former and the hospitalization in the latter. (one US$=INR 42.1 at time of study) CONCLUSIONS: A considerable cost difference exists between secondary and tertiary level treatment. Admission at lowest possible treatment level for appropriate patients could decrease the costs borne by the provider and the patient.

Validation of a pediatric bedside tool to predict time to death after withdrawal of life support.

AIM: To evaluate the accuracy of a tool developed to predict timing of death following withdrawal of life support in children. METHODS: Pertinent variables for all pediatric deaths (age ≤ 21 years) from 1/2009 to 6/2014 in our pediatric intensive care unit (PICU) were extracted through a detailed review of the medical records. As originally described, a recently developed tool that predicts timing of death in children following withdrawal of life support (dallas predictor tool [DPT]) was used to calculate individual scores for each patient. Individual scores were calculated for prediction of death within 30 min (DPT30) and within 60 min (DPT60). For various resulting DPT30 and DPT60 scores, sensitivity, specificity and area under the receiver operating characteristic curve were calculated. RESULTS: There were 8829 PICU admissions resulting in 132 (1.5%) deaths. Death followed withdrawal of life support in 70 patients (53%). After excluding subjects with insufficient data to calculate DPT scores, 62 subjects were analyzed. Average age of patients was 5.3 years (SD: 6.9), median time to death after withdrawal of life support was 25 min (range; 7 min to 16 h 54 min). Respiratory failure, shock and sepsis were the most common diagnoses. Thirty-seven patients (59.6%) died within 30 min of withdrawal of life support and 52 (83.8%) died within 60 min. DPT30 scores ranged from -17 to 16. A DPT30 score ≥ -3 was most predictive of death within that time period, with sensitivity = 0.76, specificity = 0.52, AUC = 0.69 and an overall classification accuracy = 66.1%. DPT60 scores ranged from -21 to 28. A DPT60 score ≥ -9 was most predictive of death within that time period, with sensitivity = 0.75, specificity = 0.80, AUC = 0.85 and an overall classification accuracy = 75.8%. CONCLUSION: In this external cohort, the DPT is clinically relevant in predicting time from withdrawal of life support to death. In our patients, the DPT is more useful in predicting death within 60 min of withdrawal of life support than within 30 min. Furthermore, our analysis suggests optimal cut-off scores. Additional calibration and modifications of this important tool could help guide the intensive care team and families considering DCD.

Prevalence, predictors, and outcomes of methicillin-resistant Staphylococcus aureus infections in patients undergoing major surgical procedures in the United States: a population-based study.

BACKGROUND: National estimates of methicillin-resistant Staphylococcus aureus (MRSA) infection rates in hospitalized surgical patients and outcomes are lacking. We sought to estimate the prevalence, identify the predictors, and describe the outcomes of MRSA infections in hospitalized patients undergoing major surgical procedures (MSPs) in the United States. METHODS: We performed a retrospective analysis of the Nationwide Inpatient Sample, the largest all-payer hospital discharge database in the United States, for the years 2009 to 2010. RESULTS: Of the 22,932,948 hospitalizations that had an MSP, MRSA infection occurred in 235,636 (1.03%) patients. Factors associated with "significantly" lower risk of MRSA occurrence include women (odds ratio [OR] .68), elective procedure (OR .38), teaching institutes (OR .94), and large hospital size (OR .87). Blacks (OR 1.19), native Americans (OR 1.27), increased comorbid burden (OR 1.38), and uninsured patients were associated with higher risk of MRSA occurrence. Outcomes in MSPs "with" MRSA versus "without" MRSA include mean length of stay (14 vs 5 days) and in-hospital mortality (IHM) rate (3.7% vs 1.2%). Occurrence of an MRSA was associated with significantly longer length of stay and higher odds of IHM (OR 1.39, 95% confidence interval 1.30 to 1.48). CONCLUSIONS: Although the occurrence of MRSA infections complicating MSPs was low, it is associated with worse outcomes. Certain predictors of MRSA infection are identified.